Distributed decision fusion in the presence of networking delays and channel errors
Information Sciences: an International Journal
Transmission of correlated senders over a Rayleigh fading multiple access channel
Signal Processing - Special section: Distributed source coding
Serially-concatenated LDGM codes for correlated sources over Gaussian broadcast channels
IEEE Communications Letters
IEEE Communications Letters
Distributed Detection in Wireless Sensor Networks Using A Multiple Access Channel
IEEE Transactions on Signal Processing
The CEO problem [multiterminal source coding]
IEEE Transactions on Information Theory
Factor graphs and the sum-product algorithm
IEEE Transactions on Information Theory
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One of the applications of wireless sensor networks currently undergoing active research focuses on the scenario where the information generated by a data source S is simultaneously sensed by N nodes and therefrom transmitted to a common receiver. Based on the received information from such N nodes, such receiver infers the original information from S potentially more accurately than in the case of a single sensor. Often referred to as the CEO (Central Estimating Officer) problem [1], in this scenario we propose the use of single Low Density Generator Matrix (LDGM) codes for the transmission of the information registered by the nodes over the Multiple Access Channel (MAC). The corresponding receiver iterates between a soft demodulator, the set of N LDGM decoders and a soft-information fusion stage. Simulation results for the AWGN MAC channel show that 1) the proposed coding scheme outperforms the suboptimum limit assuming separated Slepian-Wolf distributed coding and capacity-approaching codes; and 2) the end-to-end Bit Error Rate (BER) performance is lower bounded, for increasing N, by the error floor due to the inherent ambiguity of the MAC channel when dealing with correlated sources. This paves the way for future research aimed at applying concatenated coding schemes to this setup.